.NET/Java PDF, Tiff, Barcode SDK Library

In the first instance, our program will not use bind variables, but rather will use string concatenation to insert data (you will obviously have to use your own connect string for your system!): import java.sql.*; public class instest { static public void main(String args[]) throws Exception { DriverManager.registerDriver(new oracle.jdbc.driver.OracleDriver()); Connection conn = DriverManager.getConnection ("jdbc:oracle:thin:@localhost:1521:ora11gr2", "scott","tiger"); conn.setAutoCommit( false ); Statement stmt = conn.createStatement(); for( int i = 0; i < 25000; i++ ) { stmt.execute ("insert into "+ args[0] + " (x) values(" + i + ")" ); } conn.commit(); conn.close(); } } I ran the test in single user mode (that is, by itself with no other active database sessions), and the statspack report came back with this information: Elapsed: DB time: 0.65 (mins) Av Act Sess: 0.56 (mins) DB CPU: 0.9 0.56 (mins)

ssrs code 128 barcode font, ssrs code 39, ssrs fixed data matrix, winforms pdf 417 reader, winforms qr code reader, winforms upc-a reader, itextsharp remove text from pdf c#, itextsharp replace text in pdf c#, winforms ean 13 reader, itextsharp remove text from pdf c#,

Cache Sizes Begin End ~~~~~~~~~~~ ---------- ---------Buffer Cache: 100M Shared Pool: 144M Load Profile Per Second ~~~~~~~~~~~~ ----------------- Parses: 690.2 Hard parses: 652.4 Instance Efficiency Indicators ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Buffer Nowait %: 100.00 Buffer Hit %: 99.99 Library Hit %: 63.59 Execute to Parse %: 15.29 Parse CPU to Parse Elapsd %: 99.32

In practice, it is rare to develop and implement a web server manually as we did in the previous section. Instead, most web development adds an extension to an existing web server via a web development framework such as ASP.NET, PHP, or JavaServer Pages (JSP). In this section, we cover how F# can be used to write server-side applications using ASP.NET. ASP.NET is a fully compiled dynamic server technology that allows developers to write web applications as a set of dynamic pages and to describe how the pages should interact via a rich object model and an abundance of server-side controls. The resulting web applications are easy to deploy they are independent of the hosting environment and the system registry and can be configured through an integrated web application configuration tool or via XMLbased configuration files. ASP.NET was originally designed by Microsoft and is often used with Microsoft s Internet Information Services (IIS) web server but can also be used with Apache and others via the Mono implementation of ASP.NET and the CLI.

Std Block Size: Log Buffer:

Per Transaction Per Exec Per Call ----------------- ----------- ----------5,383.8 5,089.0

Note Modern web development frameworks allow you to put together sophisticated websites with many useful features with almost no coding at all. Code is often used as glue between the incoming requests and back-end databases. For this reason, web programmers often need a variety of design, security, database, and system skills in addition to mastery of one or more programming languages. Some resources for these additional topics are discussed at http://www.expert-fsharp.com/Topics/WebDevelopment.

Redo NoWait %: 100.00 Optimal W/A Exec %: 100.00 Soft Parse %: 5.48 Latch Hit %: 99.96 % Non-Parse CPU: 23.25

Top 5 Timed Events Avg %Total ~~~~~~~~~~~~~~~~~~ wait Call Event Waits Time (s) (ms) Time ----------------------------------------- ------------ ----------- ------ -----CPU time 32 97.4 log file parallel write 72 0 5 1.1 control file parallel write 17 0 11 .6 db file async I/O submit 11 0 13 .4 os thread startup 2 0 50 .3 I included the SGA configuration for reference, but the relevant statistics are as follows: Elapsed (DB time) time of approximately 39 seconds (0.65 of a minute) 652 hard parses per second 32 CPU seconds used

You may already be familiar with various web scripting languages and technologies that allow you to embed bits of code (usually in certain meta-tags or inside special markers) in your pages. When a request is made to such pages (which typically have a different file extension, such as .asp, .aspx, .php, .jsp, and so on), the web server invokes a preprocessor that consumes the page script and outputs the resulting HTML after evaluating each dynamic block. Depending on your web server architecture, such processors can be plugged in on demand (as with Apache s modules) or tied directly to the server technology (as with the Java-based web server Tomcat or as with ASP.NET).

Now, if we were to run two of these programs simultaneously, we might expect the hard parsing to jump to about 1,200/1,300 per second (we have two CPUs available, after all) and the CPU time to double to perhaps 64 CPU seconds. Let s take a look: Elapsed: DB time: 1.08 (mins) Av Act Sess: 1.98 (mins) DB CPU: 1.8 1.96 (mins)